A replication Machine Learning code in jupyter notebooks/python. Includes both imperative/functional and OOP versions.
Code from the Machine Learning class with professor John Paisely at the Data Science Institute (Columbia), implemented in R.
Code from the Machine Learning class with professor Zoran Kostic at the Electrical Engineering department (Columbia), implemented in Jupyter Notebooks/Python using OOP.
Code from the Data Visualization class with professor Thomas Brambor at the Quantitaive Methods department (Columbia), implemented in R.
Code from the Applied Regression Modelling class with professor Andrew Gelman at the Statistics department (Columbia), implemented in R.
Code from the Statistical Methods in Finance class with professor Zhiliang Ying at the Statistics department (Columbia), implemented in R.